Shahriar Akter

University of Wollongong | UOW · Sydney Business School

The recent interest in big data has led many companies to develop big data analytics capability (BDAC) in order to enhance firm performance (FPER). However, BDAC pays off for some companies but not for others. It appears that very few have achieved a big impact through big data. To address this challenge, this study proposes a BDAC model drawing on...

There has been an increasing emphasis on big data analytics (BDA) in e-commerce in recent years. However, it remains poorly-explored as a concept, which obstructs its theoretical and practical development. This position paper explores BDA in e-commerce by drawing on a systematic review of the literature. The paper presents an interpretive framework...

Big data has the potential to revolutionize the art of management. Despite the high operational and strategic impacts, there is a paucity of empirical research to assess the potential of big data. Drawing on a systematic review and case study findings, this paper presents an interpretive framework that analyses the definitional perspectives and the...

The increasing importance of service systems in the global economy prompts researchers to focus on quality to measure the critical interaction between human behavior, IT and society. Building on service-dominant logic and sociomaterialism, this study develops and validates a quality model and measures its overall impact on individual (value, satisf...

The data revolution transforms operations, innovation, and society through artificial intelligence and advanced analytics. Data-driven innovations (DDI) have the most potential to tackle global challenges, including poverty, healthcare, climate actions, disaster management, gender inequality, peace and justice and others. This paper identifies the...

The rise of online social media has fostered increasing instances of deviant online behaviour. One of the most lethal is collective bullying i.e., trolling, which has severe impacts including suicides of victims. Yet, it remains a mystery what kind of factors lead social media users to engage in trolling. To explain social media trolling, we contex...

This research investigates the extent to which sponsorships can be utilised to foster trust and reduce barriers to adopting new technologies. Using Crypto.com's sponsorship of the 2022 FIFA World Cup as the context, this mixed‐methods study utilises innovation resistance theory (IRT) and trust transfer theory (TTT) to investigate the extent to whic...

Artificial intelligence (AI)-powered service innovation (e.g., OpenAI’s ChatGPT, Google’s Bard and Microsoft’s Sydney) has become one of the most significant determinants of firms’ success in the Fourth Industrial Revolution. However, extant studies on this topic show that research studies hitherto have been ad-hoc, lacking a conceptual framework f...

Big data-driven innovation gains momentum in the developing world by tackling grand challenges and making a pronounced and lasting impact. However, research has still not answered the key question regarding the dimensions of big poverty data analytics (BPDA) capabilities for creative service offerings nor their effects on economic and social outcom...

The main purpose of the present study is to address the existing research gaps by examining the motives of customers for writing online fake reviews for cosmetic products. Based on the self-determination theory, 20 customers from South Korea and 31 from France were interviewed in order to conduct a cross-cultural comparison. The results demonstrate...

This paper addresses digital transformation in higher education by exploring the engagement and use of e-textbooks through an affordance theory lens. Drawing on the insights from in-depth interviews (n = 18), focus group discussions (n = 15), a pilot survey (n = 83) and the main survey (n = 344) in Australia, we developed and validated an affordanc...

Cyberbullying behavior (CB) on social media is complex because its perpetrators exhibit varied demographic characteristics and personalities. Prior studies have applied Big Five (Big5) and Dark Tetrads (Dark4) personality traits (PTs) along with demographic attributes, using symmetrical modelling, but revealed mixed and inconsistent results. This p...

Micro-entrepreneurs play a critical role in alleviating poverty in subsistence marketplaces through their business relationships with microfinance institutions. Despite the enormous importance of these relationships, a critical research question on the dimensions of business relationship quality and their overall effects on relationship outcomes re...

In this Editorial Note for the special issue on "Incorporating Blockchain Technology in Information Systems Research," we first focus on the need on conducting blockchain research in the information systems field. We briefly describe the nine outstanding articles that were selected for publication in this special issue. The editorial note ends with...

Data breaches have become a formidable challenge for business operations in the twenty-first century. The emergence of big data in the ever-growing digital economy has created the necessity to secure critical organizational information. The lack of cybersecurity awareness exposes organizations to potential cyber threats. Thus, this research aims to...

The rise of sharing economy has accelerated the growth of marketing analytics to match demand and supply in industrial markets. However, the conceptualization of marketing analytics remains unclear in the sharing economy. Theorizing market turbulence as the dark side of the sharing economy, this study presents a marketing analytics capability model...

This article introduces algorithmic bias in machine learning (ML) based marketing models. Although the dramatic growth of algorithmic decision making continues to gain momentum in marketing, research in this stream is still inadequate despite the devastating, asymmetric and oppressive impacts of algorithmic bias on various customer groups. To fill...

The world has witnessed a meteoric rise of remote working using digital platforms and technologies due to the COVID-19 pandemic. Since data is at the heart of the digital work environment, analytics empowerment capability can enable employees to link with key customers. However, understanding the foundations of such capability in a remote working s...

Artificial intelligence (AI) has become an integral part of every industry. With the emergence of big data, the industries, and more especially textile and apparel (T&A) industry, are on the brink of relationships with consumers, suppliers, and competitors. They need to handle different scenarios with a multitude of complex correlations and depende...

Purpose This study aims to examine the perceived value of service digitalization in fine-dining restaurants in France. No study exists on this topic, and its aim is to address this research gap. To do so, a conceptual framework of the perceived benefits and costs of the service digitalization was developed. This study also provides actionable recom...

This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes guidelines on how information systems (IS) research could contribute to this research stream. To this end, the innovative approach of combining bibliometric analysis with an extensive literature review was used. Bibliometric data from 4335 documents were anal...

The exponential rise of sharing economy has accelerated the growth of shared healthcare platforms in recent times. Although a shared healthcare platform transforms the exchange of service offerings, insight remains elusive regarding its value co-creation (VCC) dynamics and their effects. Drawing on the DART (dialogue, access, risk assessment, trans...

While data-driven innovation (DDI) is receiving substantial attention from academics and industry specialists, there is limited research on its dimensions and effects in marketing. We address this theoretical gap by examining the following research questions: ‘What are the necessary firm-level capabilities of DDI and its effects in a marketing envi...

This study explores digital business transformation through the lens of four emerging technology fields: artificial intelligence, blockchain, cloud and data analytics (i.e., ABCD). Specifically, the study investigates the operations and value propositions of these distinct but increasingly converging technologies. Due to the dynamic nature of innov...

In the race to achieve market dominance and stay competitive in a disruptive and rapidly changing business environment, many firms have invested significantly in data-driven innovation capabilities (DDIC). Surprisingly, the role that strategic market agility plays in achieving a firm's competitiveness through DDIC is understudied. Addressing this g...

The value of customer analytics (CA) and artificial intelligence (AI) has been discussed separately at the forefront of research for business, marketing, and operations management. In spite of the strategic importance of CA and AI, there has been a paucity of research regarding the role of AI in operationalizing customer analytics (CA) capability....

Customer analytics plays a vital role in generating insights from big data to improve service innovation, product development, personalization, and managerial decision-making; yet, no academic study has investigated customer analytics capability through which it is possible to achieve sustainable business growth. To close this gap, this chapter exp...

The world is facing an unprecedented humanitarian crisis due to the COVID-19 pandemic. Humanitarian service systems are being empowered to tackle this crisis through the use of vast amounts of structured and unstructured data to protect vulnerable individuals and communities. Analytics has emerged as a powerful platform to visualise, predict, and p...

Purpose Analytics thrives in navigating emergency situations. Emergency operations management needs to develop analytics empowerment capability (ANEC) to prepare for uncertainty, support continuity and tackle any disruptions. However, there is limited knowledge on ANEC and its effects on strategic emergency service agility (SESA) and emergency serv...

It is hard to overlook the concept of omnichannel within the retail and service landscape nowadays. Current customers make purchase decisions using several channels at the same time. Ordering online but picking up in-store, searching for a better price online through mobile phones while in-store, switching from one channel to another in search of b...

A social bank has been argued as a viable solution to empower disadvantaged business customers through a long-term relationship. Despite the importance of business relationship, there is little empirical evidence of how the dynamic bundling of the relationship quality dimensions evolve to make an economic and social impact. Drawing on the social ex...

The data-centric revolution generally celebrates the proliferation of business analytics and AI in exploiting firm’s potential and success. However, there is a lack of research on how the unintended consequences of AI integrated business analytics (AI-BA) influence a firm’s overall competitive advantage. In this backdrop, this study aims to identif...

AI climate-driven service analytics capability has been anecdotally argued as a viable strategy to enhance service innovation and market performance in B2B markets. While AI climate refers to the shared perceptions of policies, procedures, and practices to support AI initiatives, cognitive service analytics capability refers to the analytical insig...

As online group buying (OGB) businesses increasingly face strong competition, understanding the beliefs, attitudes, and behaviors of their customers is critical. Hence, the purpose of this study is to understand why customers choose one OGB vendor over others. By extending the transaction cost economics (TCE) theory, we explain OGB customers’ purch...

Advancing value creation has gained momentum in recent years due to the dramatic growth of data-driven marketing analytics. As such, there is an ever-growing surge both in academia and industry to understand data-driven value creation. In particular, customers’ data exhibit a new pathway of value creation by deploying customer analytics. Despite th...

Data-driven innovation (DDI) gains its prominence due to its potential to transform innovation in the age of AI. Digital giants Amazon, Alibaba, Google, Apple, and Facebook, enjoy sustainable competitive advantages from DDI. However, little is known about algorithmic biases that may present in the DDI process, and result in unjust, unfair, or preju...

The role of subjective distance and mental representations in understanding consumers’ information privacy decisions is underexplored in the literature. This study draws on construal level theory and power-responsibility equilibrium framework of privacy to explain consumer privacy behavior based on the interplay between three psychological construc...

Purpose Big data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation fo...

Value co-creation (VCC) has gained momentum in recent years due to the dramatic growth of digital technology. There is an ever-growing surge in academia and industry to understand the dimensions and outcomes of VCC through various digital platforms. However, there is sparse literature on VCC in the bottom of the pyramid (BoP) context, especially fo...

Purpose How employees connect with their work organisation and how it may play a role in their moral courage and ethical behaviour remain under-explored. This study, using Psychological Contract Theory, aims to explore how employee–organisation connectedness influences employees' moral courage and ethical behaviour. Design/methodology/approach The...

To revamp with new creative age characterized by ongoing digital transformation, more and more industries are capitalizing on digital innovation for their sustainable business growth. Drawing on a systematic literature review, thematic analysis, and using the theories of dynamic capabilities and market orientation, this research scrutinizes a syste...

Understanding the growth paths of artificial intelligence (AI) and its impact on branding is extremely pertinent of technology-driven marketing. This explorative research covers a complete bibliometric analysis of the impact of AI on branding. The sample for this research included all 117 articles from the period of 1982-2019 in the Scopus database...

Research on AI has gained momentum in recent years. Many scholars and practitioners increasingly highlight the dark sides of AI, particularly related to algorithm bias. This study elucidates situations in which AI-enabled analytics systems make biased decisions against customers based on gender, race, religion, age, nationality or socioeconomic sta...

Big data analytics capability can reshape competitive advantages for a service system. However, little is known about how to develop and operationalize a service system analytics capability (SSAC) model. Drawing on the resource based view (RBV), dynamic capability theory (DCT) and the emerging literature on big data analytics, this study develops a...

Empowerment has been argued as a viable strategy to enable frontline employees (FLEs) to manage the complexities of service encounters. Organisations must cascade insights from analytics to frontlines for dynamic (re)bundling of service elements while serving customers. However, very little is known on how FLEs are empowered in analytics-driven ser...

Customer analytics is one of the most dominant strategic weapons in today's competitive retail environment. In spite of its strategic importance, there is scant attention to investigating customer analytics capabilities in the retail context. Drawing on a systematic literature review and thematic analysis, this study proposes a multidimensional cus...

Service firms are now interacting with customers through a multitude of channels or touchpoints. This progression into the digital realm is leading to an explosion of data, and warranting advanced analytic methods to manage service systems. Known as big data analytics, these methods harness insights to deliver, serve, and enhance the customer exper...

Purpose The purpose of this study is to examine privacy issues in the e-commerce context from a power-responsibility equilibrium theory (PRE) perspective. Design/methodology/approach The data was collected using an online survey ( n = 335) from online shopping consumers. This study used partial least squares-structural equation modelling and fuzzy...

Bien que le big data analytics (BDA) ait fortement cristallisé l’attention des spécialistes et des praticiens, il est encore difficile de bien cerner la façon dont les organisations peuvent mobiliser et gérer efficacement cet outil. En se fondant sur des travaux réalisés sur le big data analytics et l’agilité organisationnelle, la présente étude ex...

The utilisation and governance of the internet and adjacent disruptive technologies have created numerous challenges to ensuring consumer online privacy. This study employs the power‐responsibility equilibrium theory to explore emerging online privacy issues in the data‐driven marketplace. This exploratory study, based on semi‐structured interviews...

Omnichannel marketing, the notion of seamless integration between channels to provide consistent service experience for customers, has become one of the most crucial aspects of multichannel management for companies in recent years. Although many companies have embraced omnichannel strategies, there remains a gap of understanding factors influencing...

Online consumers often voice discontent and concern over their privacy and yet fail to take adequate precautions. Nor do they abstain from disclosing information. This study aims to explore this phenomenon which is known as the privacy paradox. Based on semi-structured interviews with online shopping consumers and thematic analysis of data, this pa...

Customer analytics plays a vital role in generating insights from big data to improve service innovation, product development, personalization, and managerial decision-making; yet, no academic study has investigated customer analytics capability through which it is possible to achieve sustainable business growth. To close this gap, this chapter exp...

Despite the exponential growth of social media in emergency services design and delivery, academic research and managerial practice have paid little attention to how to adopt and use it to transform operations and enhance organizational performance. This paper aims to provide some insights of a longitudinal case study of the adoption and use of soc...

The era of big data and analytics is opening up new possibilities for disaster management (DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the humanitarian operations and crisis management dramatically. Yet, the relevant literature is diverse and fragmented, which calls for its review in order to ascertain...

Empirical research remains embryonic on increasing our understanding of the drivers and implications of responsible leadership. This is especially the case in terms of how responsible leaders behave during unpopular decision-making situations that impact organizational reputation. The aim of this study is to explore how senior leaders make unpopula...

E-books have changed the business of book publishing and the reading experience of the general public. Dedicated e-readers and other smart devices are integral to e-books offering affordances to overcome the physical limitations of print book and to provide the functionality of information technology. Using netnography, comments by online readers t...

Safeguarding consumer privacy is a key challenge for the growth of e-commerce. The dramatic technological changes advanced by online platforms, big data, artificial intelligence, virtual reality, virtual assistants, and blockchain technology are transforming the way we shop online. This paradigm shift in e-commerce has only intensified the perplexi...

While the use of big data tends to add value for business throughout the entire value chain, the integration of big data analytics (BDA) to the decision-making process remains a challenge. This study, based on a systematic literature review, thematic analysis and qualitative interview findings, proposes a set of six-steps to establish both rigor an...

Customer analytics plays a vital role in generating insights from big data to improve service innovation, product development, personalization, and managerial decision-making; yet, no academic study has investigated customer analytics capability through which it is possible to achieve sustainable business growth. To close this gap, this chapter exp...

Purpose Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose...

Social business has emerged as a sustainable and innovative means to solve emerging social problems. Although it is gaining momentum, there is a paucity of studies on the drivers of social business models and its key success factors. Drawing on a systematic literature review and an in-depth analysis of 31 social businesses in Bangladesh, the study...

The importance of big data analytics–enabled dynamic capability has been at the forefront of research for information systems management, operations management, and strategic management community. Prior studies have reported on the influence of big data analytics–enabled dynamic capability (BDA) for improved organizational agility and organizationa...

This paper aims to explore definitions, dimensions, and challenges of multichannel integration quality (MCIQ) in services marketing through a systematic literature review, and qualitative interviews. The findings from the thematic analysis of literature, qualitative data analysis of twenty in-depth interviews and two focus group discussions identif...

The retailing landscape has been transformed in the past decade with the emergence of web, mobile and social media. Multichannel retailers are focusing on establishing seamless omnichannel service experience. Omnichannel retailing is not only addition of channels, rather integration of service elements, price, promotion, product assortment, informa...

The enterprise resource planning (ERP) adoption and use phenomenon has attracted much of the attention of production researchers over the last two to three decades. Through a systematic literature review, the purpose of this paper is to conduct a detailed examination of the investigation of ERP adoption and use in production research, more specific...

Purpose Big data analytics (BDA) increasingly provide value to firms for robust decision making and solving business problems. The purpose of this paper is to explore information quality dynamics in big data environment linking business value, user satisfaction and firm performance. Design/methodology/approach Drawing on the appraisal-emotional...

Textbooks are an important information resource for tertiary students. E-textbooks are now widely available and accessible to students offering them distinct advantages over print books at lower costs. However the uptake of e-textbooks has been slow and student preferences for either medium are not well understood. This study adopts a qualitative a...

Despite the promise big data analytics hold for organizations, several challenges thwart realizing its potential. With mounting debates over the use of big data, we focus on the ethical challenges in the adoption and use of human resource analytics (HRA). The decision to adopt and implement HRA can generate considerable employee dissension due to p...

We know very little about how big data-driven service analytics capabilities (SAC) are built in data-driven service organizations and the potential role of talent capability in facilitating overall SAC and the impact of both on firm performance (FPER). Drawing on the dynamic capabilities (DC) approach, this study investigates the link between SAC a...

Link to abstract and full paper: http://hdl.handle.net/10125/50353

This article is intended to serve as a primer of social media analytics. The paper explores different dimensions of social media analytics by drawing on a review of the literature. Specifically, the paper sheds light on the definitional aspects, types of social media data and types of analytics to improve firm performance. The findings of the paper...

The current digital marketplace maneuvered by big data lures consumers to disclose information that is private, while they express concern about revealing personal information. The privacy paradox describes the unexpected behavior of people who disclose personal information in spite of being concerned by their privacy. In this paper, we explain the...

To better serve its customers, companies are focusing towards omnichannel marketing where managers are combining online, mobile, and even social networking channels with traditional physical channel. However, there are challenges. The customer who did not complete a purchase in store may have ordered similar product using other channels offered by...

The current digital marketplace maneuvered by big data lures consumers to disclose information that is private, while they express concern about revealing personal information. The privacy paradox describes the unexpected behavior of people who disclose personal information in spite of being concerned by their privacy. In this paper, we explain the...

The plethora of digital channels has shifted multichannel services to an omnichannel environment. In the omnichannel context, the borderline of offline, online and digital channels is diminishing as consumers utilize several channels simultaneously to complete any purchases. Additionally, as more channels are introduced, the amount of customer data...

The emergence of multivariate analysis techniques transforms empirical validation of theoretical concepts in social science and business research. In this context, structural equation modeling (SEM) has emerged as a powerful tool to estimate conceptual models linking two or more latent constructs. This paper shows the suitability of the partial lea...